The Polished Lie: Why Great AI Execution Still Feels Wrong
I released a song called Soul of the Mountain. The AI-generated version sounded incredible by every traditional industry metric. And that is exactly why it felt so wrong.

I released a song today called "Soul of the Mountain."
The version you hear is incredible. The production is flawless. It features instruments I do not even know how to play, added by an AI cover generator called Suno. It took my original composition and turned it into something smooth, pleasant, and undeniably commercial.
It sounds better by every traditional industry metric.
And that is exactly why it feels so wrong.
But the irony goes deeper than the music.
This is the original composition, the way I wrote it:
The Meta Confession
I am writing this very article with an AI assistant.
I fed it my raw thoughts, my frustration with the Suno experiment, and my strategic framework. The AI arranged the paragraphs. It built the structural rhythm you are reading right now. It executed the grammar perfectly.
The machine did not fail in the studio, and it did not fail on this page.
It delivered a polished, radio-ready version of my music. It delivered a structurally perfect version of my essay.
But in both cases, the machine was missing the one thing that actually matters. Intent.
This is what Suno made of it:
Execution vs. Intent
When Suno covered my song, it performed a statistical miracle. It knew where a peak in energy was required. It knew which frequencies to boost to make it sound professional. When the AI drafted this text, it knew exactly where to place a heading to maximize your reading retention.
They executed perfectly. But they had zero intent.
The AI made the song more commercial because its training data suggested that commercial sounds attract more listeners. It did not make those choices because it understood the soul of the mountain. It just followed a pattern.
The machine can do the heavy lifting. But it cannot decide what is true.
The Trap of Outsourcing Taste
We often think we are just outsourcing the labor when we use these tools. We think the AI is just a highly capable intern saving us time.
There is a very fine line between outsourcing labor and outsourcing your taste.
Taste is the only currency left in the creator economy. Taste is not the ability to make something sound good or read well. The algorithms have already commodified competence. Taste is the ability to look at a flawless, perfectly executed output and say: "No, this is not me."
Taste is your veto power.
If I had let Suno release the track without my disclaimer, or if I had let the AI publish this article without injecting my specific human frustration, I would no longer be an artist or a strategist. I would just be a curator of fake competence. The joy of creation comes from the struggle. When you remove that struggle, you also remove the connection.
Protecting the Friction
The curiosity to experiment is vital. You have to know what the bulldozer can do before you build the house. But you must draw a hard boundary between exploration and identity.
Here is what I learned from both the song and this essay.
Use AI as a scout, not a substitute. Let it show you what is possible. Let it arrange the words or test the melodies. But never let it have the final word.
Friction is your fingerprint. The parts of my original song that feel less commercial, and the raw honesty in this text, are the parts that actually belong to me.
The process is the product. If you do not feel the heat of the work, the result will always feel cold.
Perfection is cheap now. Authenticity is the ultimate luxury. I am glad I ran this experiment in both audio and text, but the final stroke of the brush will always be mine.
Related reading:
- You Are Making Music for an Algorithm, Not an Audience -- the structural side of the same problem: how platforms have already reshaped what music sounds like before AI even enters the room.
- Stop Calling Your Audience a Community -- on the difference between the language of connection and the reality of it, and why that gap keeps widening.
- Subvert.fm and the Plan for the Artist-Owned Internet -- what a structural alternative to extractive platforms looks like, for artists who want to own the container rather than rent space in someone else's.

